Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

4 October 2019

Papers citing "Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints"

50 / 389 papers shown

Title
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation Matthis Manthe Carole Lartizien Stefan Duffner OOD FedML 23 0 0 04 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 24 0 0 04 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 32 0 0 03 Oct 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues Yunming Liao Yang Xu Hongli Xu Zhiwei Yao Liusheng Huang C. Qiao FedML 37 5 0 02 Oct 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah Abdellah El Mrini R. Guerraoui Nirupam Gupta Rafael Pinot FedML 27 0 0 30 Sep 2024
Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue David Brunner Alessio Montuoro FedML 23 0 0 20 Sep 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 30 0 0 16 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 39 0 0 16 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 40 1 0 15 Sep 2024
Federated One-Shot Ensemble Clustering Rui Duan Xin Xiong Jueyi Liu Katherine P. Liao Tianxi Cai FedML 16 0 0 12 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai J. Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 73 0 0 09 Sep 2024
Personalized Federated Learning via Active Sampling Alexander Jung Yasmin SarcheshmehPour Amirhossein Mohammadi FedML 18 0 0 03 Sep 2024
Seamless Integration: Sampling Strategies in Federated Learning Systems T. Legler Vinit Hegiste Martin Ruskowski FedML 31 1 0 18 Aug 2024
Federated Graph Learning with Structure Proxy Alignment Xingbo Fu Zihan Chen Binchi Zhang Chen Chen Jundong Li FedML 44 6 0 18 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 33 1 0 15 Aug 2024
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems Tianyue Zhou Jung-Hoon Cho Cathy Wu OffRL 28 0 0 15 Aug 2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability Mario Padilla Rodriguez Mohamed Nafea FedML 28 0 0 12 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 30 0 0 11 Aug 2024
Enhancing Group Fairness in Federated Learning through Personalization Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 32 0 0 27 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 45 1 0 25 Jul 2024
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models Navid Seidi Satyaki Roy Sajal Kumar Das Ardhendu Shekhar Tripathy 27 2 0 20 Jul 2024
Proximity-based Self-Federated Learning D. Domini G. Aguzzi Nicolas Farabegoli Mirko Viroli L. Esterle FedML 45 4 0 17 Jul 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering Ensieh Khazaei Alireza Esmaeilzehi Bilal Taha Dimitrios Hatzinakos FedML 20 1 0 17 Jul 2024
Novel clustered federated learning based on local loss Endong Gu Yongxin Chen Hao Wen Xingju Cai Deren Han FedML 28 0 0 12 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 26 2 0 12 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 34 2 0 09 Jul 2024
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering Md Sirajul Islam Simin Javaherian Fei Xu Xu Yuan Li Chen Nian-Feng Tzeng FedML 30 3 0 09 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 78 4 0 06 Jul 2024
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent Mohit Kumar Alexander Valentinitsch Magdalena Fuchs Mathias Brucker Juliana Bowles Adnan Husaković Ali Abbas Bernhard A. Moser 21 0 0 05 Jul 2024
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis Luyuan Xie Manqing Lin ChenMing Xu Tianyu Luan Zhipeng Zeng Wenjun Qian Cong Li Yuejian Fang Qingni Shen Zhonghai Wu 33 2 0 29 Jun 2024
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition Xinghao Wu Xuefeng Liu Jianwei Niu Haolin Wang Shaojie Tang Guogang Zhu Hao Su FedML 48 7 0 28 Jun 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 31 0 0 24 Jun 2024
Defection-Free Collaboration between Competitors in a Learning System Mariel A. Werner Sai Praneeth Karimireddy Michael I. Jordan FedML 24 1 0 22 Jun 2024
Dye4AI: Assuring Data Boundary on Generative AI Services Shu Wang Kun Sun Yan Zhai 34 1 0 20 Jun 2024
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach Gang Hu Yinglei Teng Nan Wang Zhu Han FedML 21 1 0 14 Jun 2024
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning Gyuejeong Lee Daeyoung Choi 30 0 0 12 Jun 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 32 0 0 04 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 33 1 0 01 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 30 0 0 31 May 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making S. Hahn Gi-Soo Kim Junghye Lee FedML 20 1 0 31 May 2024
Decentralized Directed Collaboration for Personalized Federated Learning Yingqi Liu Yifan Shi Qinglun Li Baoyuan Wu Xueqian Wang Li Shen FedML 63 3 0 28 May 2024
P4: Towards private, personalized, and Peer-to-Peer learning Mohammad Maheri S. Siby Sina Abdollahi Anastasia Borovykh Hamed Haddadi 26 0 0 27 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning Shutong Chen Tianyi Zhou Guodong Long Jie Ma Jing Jiang Chengqi Zhang FedML 40 1 0 26 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 29 0 0 24 May 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 38 0 0 24 May 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 33 0 0 24 May 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 33 2 0 23 May 2024
Balancing Similarity and Complementarity for Federated Learning Kunda Yan Sen Cui Abudukelimu Wuerkaixi Jingfeng Zhang Bo Han Gang Niu Masashi Sugiyama Changshui Zhang FedML 32 1 0 16 May 2024
Harmonizing Generalization and Personalization in Federated Prompt Learning Tianyu Cui Hongxia Li Jingya Wang Ye-ling Shi FedML VLM 32 8 0 16 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 36 2 0 16 May 2024